Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
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  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.6587, kb_relative_information_score: -2.8641, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 840.1278, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9896, kappa: 0.9747, kb_relative_information_score: 816.6184, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.992, kappa: 0.9804, kb_relative_information_score: 815.9329, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.2259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.992, kappa: 0.9804, kb_relative_information_score: 817.7199, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.992, kappa: 0.9804, kb_relative_information_score: 816.5139, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.058, root_relative_squared_error: 0.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 817.5582, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9844, kappa: 0.9615, kb_relative_information_score: 822.8656, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9852, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9822, kappa: 0.9554, kb_relative_information_score: 836.0688, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9524, kappa: 0.8799, kb_relative_information_score: 759.1089, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 1.2149, recall: 0.9532, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9802, kappa: 0.9547, kb_relative_information_score: 823.0836, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9802, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9822, kappa: 0.9555, kb_relative_information_score: 833.5891, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.992, kappa: 0.9804, kb_relative_information_score: 844.7611, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9898, kappa: 0.9748, kb_relative_information_score: 849.8698, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9898, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.2075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.991, kappa: 0.9776, kb_relative_information_score: 848.8201, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9526, kappa: 0.8879, kb_relative_information_score: 753.8017, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.956, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 858.6443, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9923, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1918, scimark_benchmark: 2033.608, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.meta.MultiSearch: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1387.4961, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1882.7397, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1882.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1995.0759, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.8813, kappa: 0.734, kb_relative_information_score: 596.4493, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8597, predictive_accuracy: 0.9076, prior_entropy: 1.2149, recall: 0.9076, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9911, kappa: 0.978, kb_relative_information_score: 861.1756, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9915, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9922, kappa: 0.9807, kb_relative_information_score: 863.1887, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9925, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1929.4033, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 4.454, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 4.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 612.1945, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 612.1945, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Associated dataset does not have quality (default evaluation engine): NumberOfInstances
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Associated dataset does not have quality (default evaluation engine): NumberOfInstances
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 725.4929, usercpu_time_millis: 15.125, usercpu_time_millis_testing: 13.975, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9768, kappa: 0.9421, kb_relative_information_score: 810.7331, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.977, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.312, scimark_benchmark: 1762.448, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9662, kappa: 0.9165, kb_relative_information_score: 791.1398, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9664, predictive_accuracy: 0.9666, prior_entropy: 1.2149, recall: 0.9666, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3794, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8784, kappa: 0.721, kb_relative_information_score: 569.0858, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9228, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.7195, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9699, kappa: 0.9252, kb_relative_information_score: 800.4924, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.387, scimark_benchmark: 1762.448, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1762.448, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.7247, kb_relative_information_score: 609.6078, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9334, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7921, scimark_benchmark: 1762.448, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 846.8608, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2233, scimark_benchmark: 1762.448, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9817, kappa: 0.9553, kb_relative_information_score: 828.8079, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.2985, usercpu_time_millis: 4.088, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 3.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9571, kappa: 0.9012, kb_relative_information_score: 760.9402, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9535, predictive_accuracy: 0.9621, prior_entropy: 1.2149, recall: 0.9621, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4351, usercpu_time_millis: 1.266, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.8243, kappa: 0.512, kb_relative_information_score: 458.6184, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8533, predictive_accuracy: 0.8463, prior_entropy: 1.2149, recall: 0.8463, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.8765, usercpu_time_millis: 92.413, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 92.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.99, kappa: 0.9751, kb_relative_information_score: 855.7318, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 35.22, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974, usercpu_time_millis: 5.129, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 4.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9832, kappa: 0.9583, kb_relative_information_score: 833.277, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.289, usercpu_time_millis: 2.387, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 1.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, usercpu_time_millis: 1.886, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.7108, kappa: 0.168, kb_relative_information_score: 267.0328, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8017, predictive_accuracy: 0.7851, prior_entropy: 1.2149, recall: 0.7851, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2677, root_relative_squared_error: 1.0366, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.308, kappa: 0.2223, kb_relative_information_score: -295.7359, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8088, predictive_accuracy: 0.353, prior_entropy: 1.2149, recall: 0.353, relative_absolute_error: 1.6058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.7985, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9867, kappa: 0.9671, kb_relative_information_score: 847.9352, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9876, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.2585, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 2.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9868, kappa: 0.9689, kb_relative_information_score: 834.4256, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.2475, usercpu_time_millis: 1.085, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.965, kappa: 0.9135, kb_relative_information_score: 791.2859, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9649, predictive_accuracy: 0.9655, prior_entropy: 1.2149, recall: 0.9655, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.4154, usercpu_time_millis: 0.555, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9803, kappa: 0.9528, kb_relative_information_score: 824.9953, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.98, predictive_accuracy: 0.9811, prior_entropy: 1.2149, recall: 0.9811, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.3076, usercpu_time_millis: 2.506, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 1.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 836.5624, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.269, usercpu_time_millis: 2.522, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 1.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.99, kappa: 0.9749, kb_relative_information_score: 853.2757, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9844, kappa: 0.961, kb_relative_information_score: 842.7038, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2792, usercpu_time_millis: 14.256, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 13.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9349, kappa: 0.8451, kb_relative_information_score: 720.3428, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9314, predictive_accuracy: 0.9388, prior_entropy: 1.2149, recall: 0.9388, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.5533, usercpu_time_millis: 2.902, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 2.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9419, kappa: 0.8591, kb_relative_information_score: 743.5665, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9502, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5483, usercpu_time_millis: 1.847, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2409, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, usercpu_time_millis: 262.273, usercpu_time_millis_testing: 13.293, usercpu_time_millis_training: 248.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.7604, kappa: 0.424, kb_relative_information_score: 408.777, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7001, predictive_accuracy: 0.8341, prior_entropy: 1.2149, recall: 0.8341, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.9108, usercpu_time_millis: 71.898, usercpu_time_millis_testing: 4.477, usercpu_time_millis_training: 67.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.6807, kappa: 0.0703, kb_relative_information_score: 231.0002, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7391, predictive_accuracy: 0.7706, prior_entropy: 1.2149, recall: 0.7706, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2765, root_relative_squared_error: 1.0709, usercpu_time_millis: 11.771, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 10.948,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Associated dataset does not have quality (default evaluation engine): NumberOfInstances
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1600.256, usercpu_time_millis: 3.241, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 1.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9725, kappa: 0.9326, kb_relative_information_score: -451.2056, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9731, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.205, scimark_benchmark: 1600.256, usercpu_time_millis: 90.026, usercpu_time_millis_testing: 5.733, usercpu_time_millis_training: 84.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1600.256, usercpu_time_millis: 11.508, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 10.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1600.256, usercpu_time_millis: 3.09, usercpu_time_millis_testing: 2.897, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, usercpu_time_millis: 3.55, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 2.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1497.4437, usercpu_time_millis: 3.944, usercpu_time_millis_testing: 2.734, usercpu_time_millis_training: 1.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.985, kappa: 0.9633, kb_relative_information_score: 846.9473, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.985, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2224, scimark_benchmark: 430.0094, usercpu_time_millis: 172796.875, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 172718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9806, kappa: 0.953, kb_relative_information_score: 820.4036, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.981, predictive_accuracy: 0.9811, prior_entropy: 1.2149, recall: 0.9811, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2951, usercpu_time_millis: 3.296, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 2.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, usercpu_time_millis: 1.655, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 947.5024, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419, usercpu_time_millis: 0.027, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1472.3323, usercpu_time_millis: 3.991, usercpu_time_millis_testing: 2.869, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1472.3323, usercpu_time_millis: 2.454, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419, usercpu_time_millis: 0.027, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1676.0206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9821, kappa: 0.9554, kb_relative_information_score: 831.0417, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9821, predictive_accuracy: 0.9822, prior_entropy: 1.2149, recall: 0.9822, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2922, scimark_benchmark: 1094.0306, usercpu_time_millis: 25.143, usercpu_time_millis_testing: 3.224, usercpu_time_millis_training: 21.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1946.4999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1975.5109, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs